Podcasts about finite element

✅اپیزود میانی✅⚡️⚡️⚡️در قسمت❌ چهاردهم ❌In-Sight در تاثیر انواع مختلف پست با جنسهای مختلف بر روی تجمع استرس در دنتین ریشه صحبت میکنیم.‼️‼️پادکست In-Sight مجموعه ای از پادکستهای کوتاهه که در اون ها ما بدون پرداختن به جزئیات ،خلاصه ی مقالات را مرور میکنیمپادکست In-Sight اپیزود میانی دنتکستهاستدکتر فواد شهابیان متخصص پروتز ،ایمپلنت زیباییاهواز کیانپارس061 3338 0090⚡️⚡️لینک ابسترکت مقاله❌❌

Steff Evans runs Evotech Computer-Aided Engineering, on a consultancy basis in the UK. He support companies large and small with product development through advanced FEA. This is often based on pure engineering consultancy, training, software resales, or a combination of all three. He is heavily focused on the technical deployment of a ground-breaking contemporary CAE platform, MSC Apex, throughout the simulation and CAE world. Through a combination of content distribution and online training, he brands himself ‘the Apex guy!', posting interesting and varied articles to a global audience on best practice and workflow development to get the best efficiency from FEA workflows. —————————————————————————————

This week we got the man behind the curtain at Becks Armory, Mr. Richard Beck! We talk shop, use big words and struggle with a slight audio problems. bear with us, we promise its good!

Join Sarah and Niamh in this episode as they talk with Phil Durbin from Finite Elements.  Phil shares his experiences in mechanical engineering including using tools like finite element analysis and computational fluid dynamics within exciting projects like the DeepSea Challenger. Show theme music: Kevin MacLeod Host: Niamh Chapman (@nchapmanTAS)Co-Host: Sarah LydenProduction: Sarah LydenMedia & Promotion: Ellie Clapham (@eleanorclapham)

Finite Element Analysis (FEA) is not a substitute for product test. It can be used as a supplement to design and test. There are lots of ways to use it during design: to evaluate differences in prototype options, as test inputs, and even to help with root cause analysis. We talk about FEA and when to work with Quality Engineers and Reliability Engineers for next steps.Visit the podcast blog for links to additional resources. Support the show

In this episode, we talk to Andrew Lees, Ph.D., MICE CEng, Director of Geofem, Global Application Technology Manager at Tensar International, as well as Visiting Research Fellow at the University of Southampton about Finite Element Analysis, Geogrid Stabilization, InSAR, and what the future looks like for geotechnical engineering. Engineering Quotes: Here Are Some of the […] The post TGEP 50: InSAR and Finite Element Analysis in Geotechnical Engineering appeared first on Engineering Management Institute.

Slawomir Polanski is an engineer with a passion for numerical simulations. The Master's degrees achieved both in Mechanical Engineering and Computer Science fields made him realise that simulations are what he wants to do for a living. That's why he did everything to become a simulation engineer and he is currently working in TECHNIA UK. He is also an author of the COFEA initiative which aims to popularise the usage of open-source Finite Element codes. —————————————————————————————

Dominique is a senior aerospace consultant with more than 20 years' experience and advanced expertise in Finite Element Analysis of static and dynamic problems for linear and nonlinear structural behaviors. He is the author of the FEA book "Practical Finite Element Analysis for Mechanical Engineers", a book about the best practical methods and guidelines for the development and validation of finite element models. It gives to the structural engineers the keys to developing accurate and reliable finite element models. ————————————————————————————— Connect with me here: ✉️ My weekly email newsletter: jousef.substack.com

#5amMesterScrum Show #498 Live - Scrum is the Finite Element to Scaling and PI Feature Sizing Pitfall  - Today's topics:  (1) Lots of talk about SAFe lately and I just wanted to share how Scrum is an essential elements to any Scaled Operation whether is be SAFe, S@S, Nextus, LeSS, ect.. and (2) PI Planning Feature Size UNder estimating to "Do More" for the customer is going to kill your budget and funding.   Please like and subscribe and share 5amMesterScrum.  Please send me your topics.   You are are doing Great Please Keep on Sharing. 5am Mester Scrum #5amMesterScrum #scrum #agile #business #scrummaster #agilecoach #coaching #philadelphia #philly #scale #safe #plan #pi #planning #estimating #sizing #budget   5am Mester Scrum Show #498 went live on Youtube at 816am EST Saturday 1/2/2021 from Philadelphia, PA.   Happy Scrumming, Social Media: - search 5amMesterScrum or #5amMesterScrum  and you should find us and if not please let us know LinkedIn, Youtube, Facebook, Instagram, Twitter, TikTok     Podcasts: (search 5amMesterScrum)

Lukasz Skotny is an FEA consultant, and academic teacher. He has been involved with Finite Element Analysis (FEA) for more than 10 years now which included various projects in at least 20 countries on 4 continents. Thanks to his experience both in applied FEA and academic teaching he is creating teaching material to avoid these frustration. According to Lukasz, he says that “FEA is a wonderful tool that can have a tremendous impact on your career – give it a try, you won't regret it.” In this episode, we will not only talk how he got hooked in FEA and realised how scarce good materials were but also how he spent long nights in frustration learning everything with trial and error – he will also give you great tips on how to get started in the Finite Element Method and how to develop your skills. ————————————————————————————— Connect with me here: ✉️ My weekly email newsletter: jousef.substack.com

One of the many tools in the engineering tool belt, Finite Element Analysis (or FEA)is the process of simulating the behavior of a part or assembly under given conditions so that it can be assessed using the Finite Element Method (FEM). That doesn't clear things up for you? How about this: FEA breaks 3D CAD models into tiny parts to understand if they are going to break. Like if Luke sits on a chair after not being on a diet, will he weigh too much for it to hold? That's FEA!! Join us to understand why engineers rely on FEA, the part it played in getting us to the moon, and more!

Episode Notes: The Center for Efficient Exascale Discretizations (CEED) recently released version 4.1 of its MFEM software, with features for exascale.

Cyprien Rusu is a French engineer who would loves to share his passion about the Finite Element to help Engineers all over the world. He has been using FEA for more than 10 years now and wants to change the way FEA is taught in order to make it more accessible to engineers and designers who really need it to improve their products. With his Blog “Fea for All”, he is creating content and FEA courses for everyone interested in learning FEA. ————————————————————————————— Connect with me here: ✉️ My weekly email newsletter: jousef.substack.com

In episode 21 of The Structural Engineering Channel podcast, we talk to Aimee Corn, PE, who is a civil and structural engineer at Gannett Fleming. Aimee will be talking to us about structural analysis using finite element modeling and hydropower dam inspections. She also talks about her career journey and shares some great tips on […] The post TSEC 21: Structural Analysis Using Finite Element Modeling and Hydropower Dam Inspections appeared first on Engineering Management Institute.

In this episode your host and Co-Founder of PADT, Eric Miller is joined by PADT's Ted Harris for a very special interview for users of Ansys software, Dr. John Swanson. Dr. Swanson is known as the founder of "Swanson's Analysis Systems" in 1970; the company that would later be known to the public as Ansys Inc. He also wrote the original Ansys program in his home, and since leaving the company has gone on the work in philanthropy and alternative energy. A John Fritz Medal winner, and member of the National Academy of Engineering, John is considered an authority and pioneer in the application of Finite Element methods to engineering.  We are incredibly thankful that John was able to join us for this interview, and we hope you enjoy learning a little bit about the history of Ansys from the founder himself.  If you have any questions, comments, or would like to suggest a topic for the next episode, shoot us an email at podcast@padtinc.com we would love to hear from you!

In Episode 9, we interviewed Christophe Geuzaine about Gmsh, a three-dimensional finite element mesh generator with built-in pre- and post-processing facilities. Gmsh is a free 3D finite element mesh generator with a built-in CAD engine and post-processor. Its design goal is to provide a fast, light and user-friendly meshing tool with parametric input and advanced visualization capabilities.

Gudrun had two podcast conversations at the FEniCS18 workshop in Oxford (21.-23. March 2018). FEniCS is an open source computing platform for solving partial differential equations with Finite Element methods. This is the first of the two episodes from Oxford in 2018. Roisin Hill works at the National University of Ireland in Galway on the west coast of Ireland. The university has 19.000 students and 2.000 staff. Roisin is a PhD student in Numerical Analysis at the School of Mathematics, Statistics & Applied Mathematics. Gudrun met her at her poster about Balanced norms and mesh generation for singularly perturbed reaction-diffusion problems. This is a collaboration with Niall Madden who is her supervisor in Galway. The name of the poster refers to three topics which are interlinked in their research. Firstly, water flow is modelled as a singularly perturbed equation in a one-dimensional channel. Due to the fact that at the fluid does not move at the boundary there has to be a boundary layer in which the flow properties change. This might occur very rapidly. So, the second topic is that depending on the boundary layer the problem is singularly perturbed and in the limit it is even ill-posed. When solving this equation numerically, it would be best, to have a fine mesh at places where the error is large. Roisin uses a posteriori information to see where the largest errors occur and changes the mesh accordingly. To choose the best norm for errors is the third topic in the mix and strongly depends on the type of singularity. More precisely as their prototypical test case they look for u(x) as the numerical solution of the problem for given functions b(x) and f(x). It is singularly perturbed in the sense that the positive real parameter ε may be arbitrarily small. If we formally set ε = 0, then it is ill-posed. The numercial schemes of choice are finite element methods - implemented in FEniCS with linear and quadratic elements. The numerical solution and its generalisations to higher-dimensional problems, and to the closely related convection-diffusion problem, presents numerous mathematical and computational challenges, particularly as ε → 0. The development of algorithms for robust solution is the subject of intense mathematical investigation. Here “robust” means two things: The algorithm should yield a “reasonable” solution for all ranges of ε, including resolving any layers present; The mathematical analysis of the method should be valid for all ranges of ε. In order to measure the error, the energy norm sounds like a good basis - but as ε^2 → 0 the norm → 0 with order ε . They were looking for an alternative which they found in the literature as the so-called balanced norm. That remains O(1) as ε → 0. Therefore, it turns out that the balanced norm is indeed a better basis for error measurement.After she finished school Roisin became an accountant. She believed what she was told: if you are good at mathematics, accountancy is the right career. Later her daughter became ill and had to be partially schooled at home. This was the moment when Roisin first encountered applied mathematics and fell in love with the topic. Inspired by her daughter - who did a degree in general science specialising in applied mathematics - Roisin studied mathematics and is a PhD student now (since Sept. 2017). Her enthusiasm has created impressive results: She won a prestigious Postgraduate Scholarship from the Irish Research Council for her four year PhD program. References R. Lin, M. Stynes: A balanced finite element method for singularly perturbed reaction diffusion problems. SIAM J. Numer. Anal., 50(5):2729–2743, 2012. T. Linß: Layer-adapted meshes for reaction-convection-diffusion problems, volume 1985 of Lecture Notes in Mathematics. Springer-Verlag, Berlin, 2010. H.-G. Roos, M. Stynes, L. Tobiska: Robust Numerical Methods for Singularly Perturbed Differential Equations, volume 24 of Springer Series in Computational Mathematics. Springer-Verlag, Berlin, 2nd edition, 2008. Podcasts M. E. Rognes: Cerebral Fluid Flow, Gespräch mit G. Thäter im Modellansatz Podcast, Folge 134, Fakultät für Mathematik, Karlsruher Institut für Technologie (KIT), 2017.

Gudrun had two podcast conversations at the FEniCS18 workshop in Oxford (21.-23. March 2018). FEniCS is an open source computing platform for solving partial differential equations with Finite Element methods. This is the first of the two episodes from Oxford in 2018. Roisin Hill works at the National University of Ireland in Galway on the west coast of Ireland. The university has 19.000 students and 2.000 staff. Roisin is a PhD student in Numerical Analysis at the School of Mathematics, Statistics & Applied Mathematics. Gudrun met her at her poster about Balanced norms and mesh generation for singularly perturbed reaction-diffusion problems. This is a collaboration with Niall Madden who is her supervisor in Galway. The name of the poster refers to three topics which are interlinked in their research. Firstly, water flow is modelled as a singularly perturbed equation in a one-dimensional channel. Due to the fact that at the fluid does not move at the boundary there has to be a boundary layer in which the flow properties change. This might occur very rapidly. So, the second topic is that depending on the boundary layer the problem is singularly perturbed and in the limit it is even ill-posed. When solving this equation numerically, it would be best, to have a fine mesh at places where the error is large. Roisin uses a posteriori information to see where the largest errors occur and changes the mesh accordingly. To choose the best norm for errors is the third topic in the mix and strongly depends on the type of singularity. More precisely as their prototypical test case they look for u(x) as the numerical solution of the problem for given functions b(x) and f(x). It is singularly perturbed in the sense that the positive real parameter ε may be arbitrarily small. If we formally set ε = 0, then it is ill-posed. The numercial schemes of choice are finite element methods - implemented in FEniCS with linear and quadratic elements. The numerical solution and its generalisations to higher-dimensional problems, and to the closely related convection-diffusion problem, presents numerous mathematical and computational challenges, particularly as ε → 0. The development of algorithms for robust solution is the subject of intense mathematical investigation. Here “robust” means two things: The algorithm should yield a “reasonable” solution for all ranges of ε, including resolving any layers present; The mathematical analysis of the method should be valid for all ranges of ε. In order to measure the error, the energy norm sounds like a good basis - but as ε^2 → 0 the norm → 0 with order ε . They were looking for an alternative which they found in the literature as the so-called balanced norm. That remains O(1) as ε → 0. Therefore, it turns out that the balanced norm is indeed a better basis for error measurement.After she finished school Roisin became an accountant. She believed what she was told: if you are good at mathematics, accountancy is the right career. Later her daughter became ill and had to be partially schooled at home. This was the moment when Roisin first encountered applied mathematics and fell in love with the topic. Inspired by her daughter - who did a degree in general science specialising in applied mathematics - Roisin studied mathematics and is a PhD student now (since Sept. 2017). Her enthusiasm has created impressive results: She won a prestigious Postgraduate Scholarship from the Irish Research Council for her four year PhD program. References R. Lin, M. Stynes: A balanced finite element method for singularly perturbed reaction diffusion problems. SIAM J. Numer. Anal., 50(5):2729–2743, 2012. T. Linß: Layer-adapted meshes for reaction-convection-diffusion problems, volume 1985 of Lecture Notes in Mathematics. Springer-Verlag, Berlin, 2010. H.-G. Roos, M. Stynes, L. Tobiska: Robust Numerical Methods for Singularly Perturbed Differential Equations, volume 24 of Springer Series in Computational Mathematics. Springer-Verlag, Berlin, 2nd edition, 2008. Podcasts M. E. Rognes: Cerebral Fluid Flow, Gespräch mit G. Thäter im Modellansatz Podcast, Folge 134, Fakultät für Mathematik, Karlsruher Institut für Technologie (KIT), 2017.

This is one of two conversations which Gudrun Thäter recorded alongside the conference Women in PDEs which took place at our faculty in Karlsruhe on 27-28 April 2017. Marie Elisabeth Rognes was one of the seven invited speakers. Marie is Chief Research Scientist at the Norwegian research laboratory Simula near Oslo. She is Head of department for Biomedical Computing there. Marie got her university education with a focus on Applied Mathematics, Mechanics and Numerical Physics as well as her PhD in Applied mathematics at the Centre for Mathematics for Applications in the Department of Mathematics at the University of Oslo. Her work is devoted to providing robust methods to solve Partial Differential Equations (PDEs) for diverse applications. On the one hand this means that from the mathematical side she works on numerical analysis, optimal control, robust Finite Element software as well as Uncertainty quantification while on the other hand she is very much interested in the modeling with the help of PDEs and in particular Mathematical models of physiological processes. These models are useful to answer What if type-questions much more easily than with the help of laboratory experiments. In our conversation we discussed one of the many applications - Cerebral fluid flow, i.e. fluid flow in the context of the human brain. Medical doctors and biologists know that the soft matter cells of the human brain are filled with fluid. Also the space between the cells contains the water-like cerebrospinal fluid. It provides a bath for human brain. The brain expands and contracts with each heartbeat and appoximately 1 ml of fluid is interchanged between brain and spinal area. What the specialists do not know is: Is there a circulation of fluid? This is especially interesting since there is no traditional lymphatic system to transport away the biological waste of the brain (this process is at work everywhere else in our body). So how does the brain get rid of its litter? There are several hyotheses: Diffusion processes, Fast flow (and transport) along the space near blood vessel, Convection. The aim of Marie's work is to numerically test these (and other) hypotheses. Basic testing starts on very idalised geometries. For the overall picture one useful simplified geometry is the annulus i.e. a region bounded by two concentric circles. For the microlevel-look a small cube can be the chosen geometry. As material law the flow in a porous medium which is based on Darcy flow is the starting point - maybe taking into account the coupling with an elastic behaviour on the boundary. The difficult non-mathematical questions which have to be answered are: How to use clinical data for estabilishing and testing models How to prescribe the forces In the near future she hopes to better understand the multiscale character of the processes. Here especially for embedding 1d- into 3d-geometry there is almost no theory available. For the project Marie has been awarded a FRIPRO Young Research Talents Grant of the Research Council of Norway (3 years - starting April 2016) and the very prestegious ERC Starting Grant (5 years starting - 2017). References M.E. Rognes: Mathematics that cures us.TEDxOslo 3 May 2017 Young academy of Norway ERC Starting Grant: Mathematical and computational foundations for modeling cerebral fluid flow 5 years P.E. Farrell e.a.: Dolfin adjoint (Open source software project) FEniCS computing platform for PDEs (Open source software project) Wikipedia on FEniCS Collection of relevant literature implemented in FEniCS

This is one of two conversations which Gudrun Thäter recorded alongside the conference Women in PDEs which took place at our faculty in Karlsruhe on 27-28 April 2017. Marie Elisabeth Rognes was one of the seven invited speakers. Marie is Chief Research Scientist at the Norwegian research laboratory Simula near Oslo. She is Head of department for Biomedical Computing there. Marie got her university education with a focus on Applied Mathematics, Mechanics and Numerical Physics as well as her PhD in Applied mathematics at the Centre for Mathematics for Applications in the Department of Mathematics at the University of Oslo. Her work is devoted to providing robust methods to solve Partial Differential Equations (PDEs) for diverse applications. On the one hand this means that from the mathematical side she works on numerical analysis, optimal control, robust Finite Element software as well as Uncertainty quantification while on the other hand she is very much interested in the modeling with the help of PDEs and in particular Mathematical models of physiological processes. These models are useful to answer What if type-questions much more easily than with the help of laboratory experiments. In our conversation we discussed one of the many applications - Cerebral fluid flow, i.e. fluid flow in the context of the human brain. Medical doctors and biologists know that the soft matter cells of the human brain are filled with fluid. Also the space between the cells contains the water-like cerebrospinal fluid. It provides a bath for human brain. The brain expands and contracts with each heartbeat and appoximately 1 ml of fluid is interchanged between brain and spinal area. What the specialists do not know is: Is there a circulation of fluid? This is especially interesting since there is no traditional lymphatic system to transport away the biological waste of the brain (this process is at work everywhere else in our body). So how does the brain get rid of its litter? There are several hyotheses: Diffusion processes, Fast flow (and transport) along the space near blood vessel, Convection. The aim of Marie's work is to numerically test these (and other) hypotheses. Basic testing starts on very idalised geometries. For the overall picture one useful simplified geometry is the annulus i.e. a region bounded by two concentric circles. For the microlevel-look a small cube can be the chosen geometry. As material law the flow in a porous medium which is based on Darcy flow is the starting point - maybe taking into account the coupling with an elastic behaviour on the boundary. The difficult non-mathematical questions which have to be answered are: How to use clinical data for estabilishing and testing models How to prescribe the forces In the near future she hopes to better understand the multiscale character of the processes. Here especially for embedding 1d- into 3d-geometry there is almost no theory available. For the project Marie has been awarded a FRIPRO Young Research Talents Grant of the Research Council of Norway (3 years - starting April 2016) and the very prestegious ERC Starting Grant (5 years starting - 2017). References M.E. Rognes: Mathematics that cures us.TEDxOslo 3 May 2017 Young academy of Norway ERC Starting Grant: Mathematical and computational foundations for modeling cerebral fluid flow 5 years P.E. Farrell e.a.: Dolfin adjoint (Open source software project) FEniCS computing platform for PDEs (Open source software project) Wikipedia on FEniCS Collection of relevant literature implemented in FEniCS

Yi, S-Y (University of Texas at El Paso) Wednesday 8th June 2016 - 14:00 to 14:45

In this podcast, Drs. Lueck, Wang and Neely discuss the implications of their research that aims to investigate the mechanism of bitemporal hemianopia by studying the biomechanics of chiasmal compression caused by a pituitary tumour growing below the optic chiasm.

We talk to the three recipients of a SciTech award for finite element analysis, DMM and Kali innovations in computer graphics and visual effects.

Gagarina, E (Universiteit Twente) Friday 18 July 2014, 15:30-16:30

With the aging but still active population, research on total joint replacements relies increasingly on numerical methods, such as finite element analysis, to improve wear resistance of components. However, the validity of finite element models largely depends on the accuracy of their material behavior and geometrical representation. In particular, material properties are often based on manufacturer data or literature reports, but can alternatively be estimated by matching experimental measurements and structural predictions through modal analyses and identification of eigenfrequencies. The aim of the present study was to compare the accuracy of common setups used for estimating the eigenfrequencies of typical components often used in prosthetized joints. Eigenfrequencies of cobalt-chrome and ultra-high-molecular weight polyethylene components were therefore measured with four different setups, and used in modal analyses of corresponding finite element models for an iterative adjustment of their material properties. Results show that for the low-damped cobalt chromium endoprosthesis components, all common measuring setups provided accurate measurements. In the case of high-damped structures, measurements were only possible with setups including a continuously excitation system such as electrodynamic shakers. This study demonstrates that the iterative back-calculation of eigenfrequencies can be a reliable method to estimate the elastic properties for finite element models.

Lecture 16 discusses the linear equations for radiosity that come from using the Finite Element method and also the definition and properties of form factors, the convergence of the Neumann series for successive bounces and Jacobi and Gauss-Siedel iteration methods for solving the radiosity linear equations.

A short introduction to this album.

Transcript -- A short introduction to this album.

A short introduction to this album.

Transcript -- A short introduction to this album.

Hoang, VH (Cambridge) Thursday 29 March 2007, 14:30-15:00